Combining Probabilistic Language Models for Aspect-Based Sentiment Retrieval.
Lisette García-MoyaHenry Anaya-SánchezRafael Berlanga LlavoriPublished in: ECIR (2012)
Keyphrases
- language model
- retrieval model
- probabilistic model
- document retrieval
- query expansion
- test collection
- ad hoc information retrieval
- document level
- language modeling
- information retrieval
- language models for information retrieval
- divergence from randomness
- cross language retrieval
- context sensitive
- statistical language models
- n gram
- document length
- document ranking
- query terms
- speech recognition
- smoothing methods
- relevance model
- generative model
- language modelling
- query specific
- language modeling framework
- sentiment analysis
- retrieval systems
- ir models
- pseudo feedback
- okapi bm
- bayesian networks
- retrieval effectiveness
- vector space model
- text retrieval
- term dependencies
- out of vocabulary
- passage retrieval
- average precision
- relevance feedback
- statistical language modeling
- improve retrieval effectiveness
- tf idf
- sentence level
- sentiment classification
- pseudo relevance feedback
- opinion mining
- term weighting
- inter document similarities
- translation model
- term frequency
- relevant documents
- visual features
- relevance assessments